numpy.ones() in Python (original) (raw)

Last Updated : 08 Mar, 2024

The numpy.ones() function returns a new array of given shape and type, with ones.

Syntax: numpy.ones(shape, dtype = None, order = 'C')

Parameters :

shape : integer or sequence of integers order : C_contiguous or F_contiguous C-contiguous order in memory(last index varies the fastest) C order means that operating row-rise on the array will be slightly quicker FORTRAN-contiguous order in memory (first index varies the fastest). F order means that column-wise operations will be faster. dtype : [optional, float(byDefault)] Data type of returned array.

Returns :

ndarray of ones having given shape, order and datatype.

Python

import numpy as geek

b = geek.ones( 2 , dtype = int )

print ( "Matrix b : \n" , b)

a = geek.ones([ 2 , 2 ], dtype = int )

print ( "\nMatrix a : \n" , a)

c = geek.ones([ 3 , 3 ])

print ( "\nMatrix c : \n" , c)

Output :

Matrix b : [1 1]

Matrix a : [[1 1] [1 1]]

Matrix c : [[ 1. 1. 1.] [ 1. 1. 1.] [ 1. 1. 1.]]

Note : Ones, unlike zeros and empty, does not set the array values to zero or random values respectively.Also, these codes won’t run on online-ID. Please run them on your systems to explore the working.